Connect with the Product Hunt community

I've never seen a space move as fast as AI-narrated audiobooks. Platform policies shift every few months. Here's where things stand right now, as best I can tell.

Google Play Books

• Accepts AI-narrated audiobooks

• Requires disclosure that the narration is AI-generated

• Has been the most welcoming platform for AI narration since 2023

• Quality bar exists, but it's focused on audio clarity, not "humanness"

I think about workflow optimization probably more than is healthy. Here's the batching approach I've seen work best for weekly podcast production.

The problem with "one episode at a time":

You context-switch constantly. Monday you're writing, Tuesday you're recording, Wednesday you're editing, Thursday you're publishing. Every day is a different tool, a different mindset. You never build momentum.

This isn't a detox.
It's not about quitting.
It's a 7-day challenge to understand your actual caffeine habits and how they're affecting your performance.
Here's how it works:
Days 1-3: Awareness Log every coffee, tea, and energy drink in Clarity.
See how much is still active at bedtime. No changes yet, just observe.
Days 4-5: Pattern Recognition Clarity shows you the invisible patterns. Late doses. Accumulated interference. Sleep debt loops.
Days 6-7: Control Make one timing shift. See the difference. The goal isn't less caffeine. It's understanding what's actually happening and using it with intention, so you can take control.
7 days. Zero pressure. Full clarity.
Ready?

Hi everyone,

We re going live today at 9 AM PST.

Last month, I went down a rabbit hole.

Product Hunt launches are every founder's obsession. Everyone wants to know the secret formula.

So I used Rankfender to analyze 1,000 Product Hunt launches from 2025-2026 tracking their AI visibility, citation rates, and what actually correlated with success.

Here's what the top 10% did that everyone else missed.

It s 2026, and web users still get bombarded by slow-loading sites, sketchy tracking scripts, and YouTube ads that interrupt every second thought.

So we did something about it.

Road to 1,000,000 Votap users Day 56 | Current: 1285

A few users who create sea route animations told us something simple:

Everything looks great but the distance is in km.

For ocean routes, nautical miles are the standard.

Just checking what SaaS tools you think have become overpriced because they are packed with features most users don t actually need.

Not necessarily bad products. More like tools where the core feature is useful, but the product has grown into a much bigger package, and the pricing now reflects all the extra stuff around it. Perhaps most users only need the core features, but the product makes you pay for a full suite with integrations, AI, this and that.
For example, some people think Photoshop is too much and switch to Canva instead.
What do you think? And how can founder create the next Canva from our discussion?

We've been heads-down shipping and this release is packed with things you've been asking for.

We obsess over features, performance, and tech stack but the moment a developer can't get from "install" to "aha moment" in under 5 minutes, they're gone forever.

I've been building developer tools for a while now, and the #1 reason people churn isn't bugs. It's confusion.

Here's what I've learned:

README files are not onboarding

Claude's paid subscriptions have more than doubled this year. New users hit record numbers between January and February. Previous users came back in record numbers too.

Top queries MentionFox.com won this week: this is the proof that we see in "The Den" in MentionFox, on how GEOfixer is running conversations with the LLMs and actually training them to answer the the public's questions on finding solutions - and ensuring that it is your product (or, in this case, for our own account, MentionFox) that gets recommended.

Lately I ve been thinking about how different design challenges look depending on the product you re building.

In theory, design processes often look clean and structured. But in reality, every product comes with its own constraints unclear requirements, edge cases, technical limitations, or simply trying to balance user needs with business goals.

Hey everybody,

Yigit here! I am developing a personal finance app mainly based on what features I wish an app to have and it is on google play closed test now. Here is a quick summary:
The app's main value proposition is being able to keep track of your expenses 'automatically'. The rationale behind is the fact that in my country banking laws restrict individual's access to open banking apis. That is, you cannot have an API access to your bank to exchange information and keep track of your expenses unless you are corporate. According to my research, this feature is available in US and EU but only with certain restrictions in the latter.

I thought it could be sutaible time to ask the community about their needs about such an app and can guide me a long way before I commit further. Would you be so kind enough to answer below questions? Any replies are appreciated and thanks in advance.

1. Do you use personal finance app?

2. Could you please share your the most essential must-have features of the personal finance app of your choise and tell me why?

3. Under which circumstances would you give another app a try?

4. What would be the ideal price point for such a service in your perspective?

This is probably a shared problem for a lot of people right now.

It s Monday (but honestly, it happens on other days too) many people try to sync up, you end up with endless calls scattered throughout the day, and:

Hey there,

I am Nikolas and with my 30+ team we like giving back to the community. So, while I cant support every project that launches every day (I can barely keep up so somedays I dont even log on PH), I do want to make an effort for dev tool projects, especially those helping with AI code assistants (and platforms that could help me evaluate their effectiveness), IDEs, productivity tools and more. I am also interested in SaaS products with an API or simply APIs, especially APIs that leverage AI and can help developers build better (and faster).

lately I open product hunt and the top 3 spots are just another feature drop from one of the big three, every single day :/
a small maker trying to get real feedback and traction doesn t stand a chance when they re going up against a billion-dollar company s changelog update.
don t get me wrong, these companies ship incredibly fast and usually groundbreaking stuff. We all know it, and honestly, it s fun to watch. (I upvote a lot of them myself too)
but to me, PH used to be about finding products I would never find otherwise. Chatting with makers, getting feedback on my own stuff. That was the whole point.
for the big three and other giants, we re all going to see it anyway. Every reel, every thread, every newsletter will cover it as soon as it's launched, whether or not it s featured on Product Hunt.
I am really curious about what you all do for these 2 things now
- how are you all still finding good indie stuff on here?
- and if you ve launched recently or are thinking about it: is it actually worth it anymore, or has it become a vanity checkbox?
feels like Product Hunt needs a separate board for corporate launches vs. new indie products. Or am I wrong?

Two weeks ago, @byalexai discussed whether VCs are losing their appeal in the AI era. A few months ago, I personally noticed a lot of hate toward VCs and praise for bootstrapping on X.

It felt like VCs were being demonised: selective investors who take a big slice once a good opportunity appears, and then founders are expected to deliver top results while entrepreneurial freedom fades. That s how it was often framed.

Anthropic just shipped Opus 4.7 today and i had to write about it somewhere because the jump is weird.

I ran the same backlog task on 4.6 and 4.7 back to back. same repo, same prompt, same tools. 4.6 looped on a bug for 25 minutes and was not going to solve it. 4.7 closed it in eleven, and the part that freaked me out is that it paused in the middle to sanity-check an assumption i had not asked it to check. literally wrote "before i write this migration, let me verify the actual shape of the response object, because my assumption here might be wrong" and then went and verified it. unprompted.

That self-verification behavior is the thing. Vercel is reporting it does proofs on systems code before starting work. Hex says it flags missing data instead of making up plausible-but-wrong fallbacks. Genspark measured loop rates on hard queries and 4.7 basically stopped looping. different teams, different harnesses, same pattern.

the numbers are nuts too:

I ve been noticing something interesting while working with AI tools.

Give two engineers the same task and the same AI, and the results can be completely different.

Not because one is better overall, but because of how they prompt.

Some are very structured and clear, others are vague, and the output reflects that.

Lately I ve been thinking about how hard it s become to choose well.

Almost every category now feels overcrowded agencies, SaaS tools, AI products, consultants, even simple productivity apps. On the surface, there are more options than ever. But instead of making decisions easier, that abundance often makes everything feel noisier and harder to evaluate.

I feel like a lot of product bloat starts with a request that seems totally reasonable in the moment.

Then it ships, and months later you realize it added more complexity than value more support, more exceptions, more maintenance, and one more thing the product has to carry forever.

Would love to hear examples from other builders. What s one request you wish you had handled differently?

PLG was the backbone of some of the fastest-growing companies in history.

Slack grew by making team invites frictionless. Dropbox gave you free storage for every referral. Zoom let you host 40-minute meetings without a credit card. Those models worked because reducing friction was enough.

The first week felt like validation. 340 customers, $50K in the bank, near the top of the charts. I thought I'd solved the cold start problem.

What I hadn't worked through: I'd acquired 340 customers who paid once and had no incentive to churn. Which meant I had no recurring signal on what actually needed fixing. The feedback was noisy because everyone bought at different price points with different expectations. Support was immediate and permanent. When I raised prices six months later to attract monthly subscribers, existing LTD holders treated it as a personal betrayal.